Comparison of Health and Risk Factors of Older, Working-age Australians, Italians and Italian-born Migrants to Australia, with Data from an Italian (PASSI), and an Australian (SAMSS) Risk Factor Surveillance System

Impact of health risk factors on healthcare resource utilization, work-related outcomes and health-related quality of life of Australians: a population-based longitudinal data analysis

Background

Health risk factors, including smoking, excessive alcohol consumption, overweight, obesity, and insufficient physical activity, are major contributors to many poor health conditions. This study aimed to assess the impact of health risk factors on healthcare resource utilization, work-related outcomes and health-related quality of life (HRQoL) in Australia.

Methods

We used two waves of the nationally representative Household, Income, and Labor Dynamics in Australia (HILDA) Survey from 2013 and 2017 for the analysis. Healthcare resource utilization included outpatient visits, hospitalisations, and prescribed medication use. Work-related outcomes were assessed through employment status and sick leave. HRQoL was assessed using the SF-6D scores. Generalized estimating equation (GEE) with logit or log link function and random-effects regression models were used to analyse the longitudinal data on the relationship between health risk factors and the outcomes. The models were adjusted for age, sex, marital status, education background, employment status, equilibrium household income, residential area, country of birth, indigenous status, and socio-economic status.

Results

After adjusting for all other health risk factors covariates, physical inactivity had the greatest impact on healthcare resource utilization, work-related outcomes, and HRQoL. Physical inactivity increased the likelihood of outpatient visits (AOR = 1.60, 95% CI = 1.45, 1.76 p < 0.001), hospitalization (AOR = 1.83, 95% CI = 1.66-2.01, p < 0.001), and the probability of taking sick leave (AOR = 1.31, 95% CI = 1.21-1.41, p < 0.001), and decreased the odds of having an above population median HRQoL (AOR = 0.48, 95% CI = 0.45-0.51, p < 0.001) after adjusting for all other health risk factors and covariates. Obesity had the greatest impact on medication use (AOR = 2.02, 95% CI = 1.97-2.29, p < 0.001) after adjusting for all other health risk factors and covariates.

Conclusion

Our study contributed to the growing body of literature on the relative impact of health risk factors for healthcare resource utilization, work-related outcomes and HRQoL. Our results suggested that public health interventions aim at improving these risk factors, particularly physical inactivity and obesity, can offer substantial benefits, not only for healthcare resource utilization but also for productivity.

Modifiable Risk Factors for Dementia Among Migrants, Refugees and Asylum Seekers in Australia: A Systematic Review

While the prevalence of non-communicable disease risk factors is understood to be higher among migrants than for people born in host nations, little is known about the dementia risk profile of migrants, refugees and asylum seekers. This systematic review examines published literature to understand what is currently reported about 12 identified modifiable risk factors for dementia among migrants, refugees, and asylum seekers residing in Australia. Three literature databases (PubMed/CINAHL/MEDLINE) were systematically searched to find articles reporting excessive alcohol consumption, traumatic brain injury, air pollution, lack of education, hypertension, hearing impairment, smoking, obesity, depression, physical inactivity, diabetes, and limited social contact in Australia's migrant, refugee and asylum seeker population samples. Papers were systematically reviewed following PRISMA guidelines. A total of 763 studies were found, of which 676 articles were excluded, and 79 articles remained. Despite wide variability in study design, size and purpose, the prevalence and correlates of modifiable risk factors of dementia appears markedly different among the studied samples. Compared with Australian-born participants, migrant samples had a higher prevalence of depression, social isolation, physical inactivity and diabetes mellitus. Insufficient information or conflicting evidence prevented inference about prevalence and correlates for the remaining dementia risk factors. A better understanding of the prevalence and correlates of modifiable dementia risk factors is needed in Australia's migrant, refugee and asylum seeker populations. This information, together with a deeper understanding of the contextual and cultural contributing factors affecting people who arrive in Australia through differing pathways is needed before preventive interventions can be realistically targeted and sensitively implemented.

A Longitudinal Assessment of Risk Factors and Chronic Diseases among Immigrant and Non-Immigrant Adults in Australia

This study aimed to investigate the prevalence and trajectories of chronic diseases and risk behaviors in immigrants from high-income countries (HIC), low–middle-income countries (LMIC), to Australian-born people. Data were used from five waves of the HABITAT (2007–2016) study—11,035 adults living in Brisbane, Australia. Chronic diseases included cancer, diabetes mellitus, coronary heart disease, and chronic obstructive pulmonary disease (COPD). Risk factors assessed were body mass index (BMI), insufficient physical activity, and cigarette smoking. Diabetes mellitus increased in all groups, with the highest increase of 33% in LMIC immigrants. The prevalence of cancers increased 19.6% in the Australian-born, 16.6% in HIC immigrants, and 5.1% in LMIC immigrants. The prevalence of asthma increased in HIC immigrants while decreased in the other two groups. Poisson regression showed that LMIC immigrants had 1.12 times higher rates of insufficient physical activity, 0.75 times lower rates of smoking, and 0.77 times lower rates of being overweight than the Australian-born population. HIC immigrants had 0.96 times lower rates of insufficient physical activity and 0.93 times lower rates of overweight than Australian-born. The findings of this study can inform better strategies to reduce health disparities by targeting high-risk cohorts.